Singapore — Whale, a Singapore-based enterprise Artificial Intelligence company, has announced the successful completion of two consecutive funding rounds—Series C1 and Series C2—raising a total of over USD 60 million.
In its May 2025 Series C2 round, Whale brought in new strategic investors, including BOSCH Ventures, MTR Lab, Singtel Innov8, MDI Ventures, and Gentree Fund. This follows the Series C1 round completed in early 2023 which had participation from existing investor Temasek and Linear Capital.
These strategic investors are not only financial backers, but also industry leaders across mobility, connectivity, infrastructure, and deep tech. For instance, Bosch Ventures and MTR Lab, co-lead investors in the Series C2 round, are connecting Whale with potential industry opportunities beyond their investment support. Through the investment, they – along with co-investors are supporting Whale’s expansion into key sectors including automotive, fashion, FMCG, and F&B. Whale will explore strategic collaborations with its investors to accelerate go-to-market initiatives, co-develop enterprise AI solutions, and expand into new markets—particularly across Southeast Asia, North America, and global innovation hubs.
Whale builds AI-native enterprise product solutions designed to help businesses automate operations, accelerate decision-making, and gain deeper customer insight. Its platform integrates advanced AI, IoT, and data infrastructure technologies—offering a secure and scalable foundation for intelligent business transformation.
Company Overview
Founded in 2017 and headquartered in Singapore, Whale supports over 600 enterprise customers across more than 20 countries. Its AI solutions power a diverse range of industries, including fashion, luxury, food and beverage, consumer electronics, retail, healthcare, and automotive.
Product / Technology
AI to See, Hear, Express, and Think
Whale provides an enterprise-grade, AI-native product suite designed to power intelligent business operations across physical and digital environments:
- SpaceSight – An AI-powered video analytics and audit platform for commercial spaces, enabling businesses to see and understand customer traffic, in-store behavior, and operational performance. To date, SpaceSight has been deployed across over 300,000 stores, helping brands monitor millions of video streams daily and execute more than 200 million audit tasks annually.
- Echo – An enterprise voice intelligence platform that helps businesses hear and analyze conversations with advanced speech recognition, semantic analysis, and sentiment detection. Echo has processed over 40 million minutes of voice data per day, helping enterprises across customer service monitor in-store interactions, and enhance training quality.
- Harbor – A content management cloud for marketing and sales teams to express at scale, featuring AI-generated content, structured asset organization, and automated cross-channel delivery. Harbor-powered content received 800 million daily views in average, driving engagement across digital signage, social media, and localized marketing channels.
- Alivia – A suite of enterprise-level AI agents that think, built for knowledge management, intelligent search, and task orchestration—powered by large language models (LLMs) and vision-language models (VLMs). Processing over 7 million AI requests daily, Alivia empowers teams to build custom agents for audits, content review, compliance, and support — turning millions of unstructured data points into action.
With over 60 fine-tuned private AI models built specifically for enterprise use, Whale continues to invest heavily in generative AI, IoT infrastructure, and data operations.
Strategic Vision for this Round
This funding marks a pivotal moment in Whale’s journey to become the leading enterprise AI infrastructure company in Asia, North America and beyond. With this capital, Whale will accelerate its go-to-market efforts, deepen product innovation, and scale global operations to meet the growing demand for intelligent business systems.
Key priorities include:
- Product Advancement: Continue developing Whale’s AI-native product suite—including SpaceSight, Echo, Harbor, and Alivia—with a focus on modularity, performance, and ease of enterprise integration.
- Global Expansion: Strengthen presence in key markets across Southeast Asia, North America, and Europe, supporting both multinational and regional brands with localized capabilities.
- Talent & R&D: Expand Whale’s world-class engineering and AI research teams to stay at the forefront of spatial computing, voice intelligence, and generative AI.
- Customer Success: Invest in solutions that deliver measurable impact for enterprise clients across industries such as retail, F&B, healthcare, consumer electronics, and automotive.
Whale remains committed to empowering enterprises with AI that doesn’t just automate—but thinks, learns, and scales with their business.
Team
Whale’s team brings together global talent across hardware engineering, embedded systems, computer vision, data science, and enterprise product development. Nearly 70% of the company is focused on R&D, reflecting its commitment to technical innovation and scalable enterprise solutions.
Jerry Ye, Founder & CEO, previously served as a data scientist at Meta, where he led the design and optimization of large-scale machine learning infrastructure powering core product experiences. A Caltech graduate, Jerry brings a strong background in AI systems, data engineering, and enterprise technology—applying deep technical insight to drive product innovation and long-term strategy.
Shukun Xie, Chief Technology Officer, holds a degree in Computer Science from the Illinois Institute of Technology and formerly served as a tech lead at Meta in the Feed Ranking Infrastructure and Machine Learning division. He brings extensive experience in distributed model training, real-time inference systems, and large-scale recommendation algorithms. At Whale, he leads the architecture of the company’s AI-native platform, ensuring performance, reliability, and enterprise-grade scalability.
Quotes
This round marks an exciting step toward our long-term vision of building intelligent infrastructure for the world’s most forward-thinking enterprises,” said Jerry Ye, Founder & CEO of Whale. “We’re focused on pushing the boundaries of enterprise AI—combining deep tech with real-world operational impact.
Jerry is a former Meta data scientist and a graduate of California Institute of Technology, recognized for his deep expertise in large-scale machine learning and enterprise AI systems.
Donald Wihardja, CEO of MDI Ventures, said, “We are excited to be part of and to support Whale on its journey. As enterprise AI continues to evolve, we are seeing growing demand how solutions like Whale’s finally can solve urgent pain points in businesses in emerging markets across Southeast Asia. Thus, we look forward to assist Whale in growing, as well as assisting Indonesian companies to fully utilize AI, especially by leveraging Telkom's business opportunities.”
This investment in Whale marks MTR Lab’s first AI-driven retail tech investment, aligning with its strategic focus on new retail innovation, as well as smart mobility and proptech, all under the core themes of smart city and sustainability. With its investment in Whale and focus on retail tech, MTR Lab aims to leverage advanced AI technologies to drive the growing digitalisation of retail, helping the sector deliver better integrated online and offline customer experiences that align with MTR Lab’s smart city vision.
About Whale
Whale is a Singapore-based enterprise AI company building AI-native solutions that transform how businesses operate, make decisions, and engage with customers. Its product suite—spanning spatial analytics, voice intelligence, generative content, and AI agents—helps organizations automate complex workflows and turn real-time data into action. Whale’s global investors include Temasek, Linear Capital, BOSCH Ventures, MTR Lab, Singtel Innov8, MDI Ventures, and Gentree Fund.
Whale serves over 600 enterprise customers across over 20 countries. The company is led by a founding team with deep roots in AI, machine learning, and large-scale infrastructure from leading global tech companies.